• DocumentCode
    1843347
  • Title

    To Detect Lung Ventilation with Multi-frequency EIT System

  • Author

    Shuai Zhang ; Guizhi Xu ; Renping Wang ; Shuo Yang ; Weili Yan

  • Author_Institution
    Hebei Univ. of Technol., Tianjin
  • fYear
    2007
  • fDate
    22-26 Aug. 2007
  • Firstpage
    4161
  • Lastpage
    4164
  • Abstract
    The paper presents an EIT system based on the DDS AD9852 which could provide a multi-frequency current source and fast data acquisition. It has been used in monitoring human lung ventilation by a series of differential images. Experiments were performed successfully. The results show that the multi-frequency EIT system is reasonable, consistent and extendable. It is shown to be a suitable and reliable method of imaging human lung ventilation and the EIT technique has the potential to become a useful tool for monitoring respiration function.
  • Keywords
    bioelectric phenomena; biomedical imaging; computerised tomography; lung; pneumodynamics; electrical impedance tomography; human lung ventilation; multifrequency EIT system; multifrequency current source; respiration function; Biomedical monitoring; Conductivity; Digital signal processing; Electric variables measurement; Frequency measurement; Humans; Lungs; Permittivity measurement; Tomography; Ventilation; Electric Impedance; Humans; Lung; Monitoring, Physiologic; Pulmonary Ventilation; Respiration; Tomography;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
  • Conference_Location
    Lyon
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-0787-3
  • Type

    conf

  • DOI
    10.1109/IEMBS.2007.4353253
  • Filename
    4353253